- Data store
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A data store is a data repository of a set of integrated objects. These objects are modeled using classes defined in database schemas.[1] Data store includes not only data repositories like databases, it is a more general concept that includes also flat files that can store data.[2]
Some data stores do represent data in only one schema, while other data stores use several schemas for this task. An example are RDBMS-based data stores like MySQL or ORACLE.
Types
Datastores can be of different types.
- The widely used data store type are relational databases. (Examples: Microsoft SQL Server, MySQL, ORACLE, Postgresql)
- Object-oriented databases, like Caché or ConceptBase. They can save objects of an object-oriented design.
- Operational data stores
- Schemaless data stores, like Distributed data stores (e.g. Apache Cassandra or Dynamo).
References
- ^ "FDO Concepts > Data Concepts". http://www.osgeo.org/: OSGeo. http://www.osgeo.org/files/fdo/docs/FDG_FDODevGuide/files/WS7106c181349dd8d016672d6105df83c6e7-7fff.htm. Retrieved 2011-03-17. "What is a Data Store? A data store is a repository of an integrated set of objects. The objects in a data store are modeled either by classes or feature classes defined within one or more schemas."
- ^ "Glossary D: data store". http://www.information-management.com/: Information Management. http://www.information-management.com/glossary/d.html. Retrieved 2011-04-04. "A place where data is stored; data at rest. A generic term that includes databases and flat files."
See also
Data warehouse Creating the data warehouse Concepts- Database
- Dimension
- Dimensional modeling
- Fact
- OLAP
- Star schema
- Aggregate
Variants- Anchor Modeling
- Column-oriented DBMS
- Data Vault Modeling
- HOLAP
- MOLAP
- ROLAP
- Operational data store
Elements- Data dictionary/Metadata
- Data mart
- Sixth normal form
- Surrogate key
FactDimensionFillingUsing the data warehouse ConceptsLanguagesTools- Business intelligence tools
- Reporting software
- Spreadsheet
Related PeopleProducts- Comparison of OLAP Servers
- Data warehousing products and their producers
Categories:- Databases
- Database management systems
- Database stubs
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